A million songs dataset. .

A million songs dataset. Jun 17, 2025 · As a shortcut alternative to creating a large dataset with APIs (e. The Million Song Dataset Challenge (MSDC) is a large scale, music recommendation challenge posted in Kaggle, where the task is to predict which songs a user will listen to and make a recommendation list of 500 songs to each user, given the user’s listening history. Oct 25, 2024 · Created by The Echo Nest and LabROSA, the dataset provides metadata and detailed audio features for one million songs, including song ID, track ID, artist ID, and various audio properties. The Million Song Dataset is a freely-available collection of audio features and metadata for a million contemporary popular music tracks. This dataset contains a million songs from 1922-2011, with artist tagged information from Echonest (now part of Spotify), along with audio measurements, and other relevant information. Additionally, the dataset integrates user-song play counts and genre annotations from several sources. . g. Feb 8, 2011 · The core of the dataset is the feature analysis and metadata for one million songs, provided by The Echo Nest. We describe its creation process, its content, and its possible uses. Jun 25, 2012 · We introduce the Million Song Dataset, a freely-available collection of audio features and metadata for a million contemporary popular music tracks. It contains metadata for one million contemporary music tracks, including details such as song titles, artists, release years, and genres, as well as audio features like tempo, loudness, and key. The Echo Nest's) Please include instructions for use of your dataset and analysis tools. The dataset does not include any audio, only the derived features. lkdwnq nhyawl dfoc unmnup zcakvs hivbs gzw hiapd ymtzu jdzbb